Forest Information
Mostrando 1-12 de 418 artigos, teses e dissertações.
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1. Diametric distribution modeling of forest species in arboreal Caatinga vegetation, Brazil
ABSTRACT The distribution modeling in diameter classes is an important indicator of the potential use of a forest community, as well as the projection of future forest production. The objective of this study was to evaluate the diametric structure and to select probabilistic density functions for three woody species in forested arboreal Caatinga vegetation i
Revista Ceres. Publicado em: 2022
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2. Mapping of areas suitable for the application of biosolids in the Quadrilátero Ferrífero region, Minas Gerais, Brazil
Abstract The recovery of degraded areas is imperative for the sustainability of mining activities. The main action implemented to improve the chemical, physical and biological conditions of soils, tailings and sterile deposits is the incorporation of organic material. Biosolids (hygienized sewage sludge) are among the organic materials that can be applied. H
REM - International Engineering Journal. Publicado em: 2022
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3. Applicability of computer vision in seed identification: deep learning, random forest, and support vector machine classification algorithms
ABSTRACT The use of computer image analysis can assist the extraction of morphological information from seeds, potentially serving as a resource for solving taxonomic problems that require extensive training by specialists whose primary method of examination is visual identification. We propose to test the ability of deep learning, SVM and random forest algo
Acta Bot. Bras.. Publicado em: 2021-03
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4. FITTING AND CALIBRATING A MIXED-EFFECTS SEGMENTED TAPER MODEL FOR BRUTIAN PINE
ABSTRACT Taper models are one of several necessary tools in modern forest inventory, giving information on diameter at any point along the tree stem and this information can also be used to estimate stem volume. In this study, we used nonlinear mixed-effects (NLME) modeling approach to minimize existing statistical problems in constructing taper equations. A
CERNE. Publicado em: 2020-12
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5. Editorial Comment: Penile cancer information on the internet: a needle in a haystack
Abstract A good wireless network design depends on technical and financial viability and a number of other criteria that must be met. Following the emergence of new technologies and services, such as 5G transmission and the reuse of frequencies, new work is being carried out to ensure a better design for a particular area. This study examines a discrete radi
Int. braz j urol.. Publicado em: 2020-12
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6. Bromatological aspects of Lentinus crinitus mushroom (Basidiomycota: Polyporaceae) in agroforestry in the Cerrado
Abstract Much of the diversity of mushrooms is still unknown to science. In the search for new edible mushrooms, we began to look at the traditions of Amazonian forest peoples in order to learn about the potential for edible mushrooms among other species. In particular, the Yanomami people launched the encyclopedia of food (Sanoma) in 2016 to preserve their
Food Sci. Technol. Publicado em: 2020-09
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7. Taxonomic study of Marsypianthes Mart. ex Benth. (Hyptidinae, Lamiaceae) in Brazil
ABSTRACT Marsypianthes is a Neotropical plant genus distributed from southern Mexico to northeastern Argentina. It is composed of six species - M. arenosa, M. burchellii, M. chamaedrys, M. foliolosa, M. hassleri, M. montana - with all occurring in Brazil except for M. arenosa, which occurs in Mexico. Marsypianthes burchellii, M. foliolosa and M. montana are
Acta Bot. Bras.. Publicado em: 2020-06
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8. MULTILEVEL NONLINEAR MIXED-EFFECTS MODEL AND MACHINE LEARNING FOR PREDICTING THE VOLUME OF Eucalyptus SPP. TREES
ABSTRACT Volumetric equations is one of the main tools for quantifying forest stand production, and is the basis for sustainable management of forest plantations. This study aimed to assess the quality of the volumetric estimation of Eucalyptus spp. trees using a mixed-effects model, artificial neural network (ANN) and support-vector machine (SVM). The datab
CERNE. Publicado em: 2020-03
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9. AUTOMATED INDIVIDUAL TREE DETECTION IN AMAZON TROPICAL FOREST FROM AIRBORNE LASER SCANNING DATA
ABSTRACT Light Detection and Ranging (LiDAR) derived individual tree crown attributes can potentially serve as a tool for ecology and forest dynamics studies and reduce field inventory costs. In this study, four methods of individual tree detection (ITD), Watershed, Silva et al. (2016), Dalponte and Coomes (2016), and Coomes et al. (2017), were evaluated in
CERNE. Publicado em: 20/12/2019
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10. Modeling residual biomass from mechanized wood harvesting with data measured by forest harvester
Abstract: The lack of accurate models for estimating residual biomass in wood harvesting operations results in underutilization of this co-product by forestry companies. Due to the lack of this information, forestry operations planning, such as chipping and transport logistics, are influenced, with a consequent increase in costs. Thereby, the aim of this stu
An. Acad. Bras. Ciênc.. Publicado em: 02/12/2019
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11. Restauração passiva em pastagens abandonadas a partir de núcleos de vegetação na Mata Atlântica, Brasil
Resumo Os núcleos de vegetação são estruturas formadas espontaneamente por pequenos agrupamentos de indivíduos arbustivos e arbóreos, que, ao evoluírem em pastagens perturbadas, podem contribuir na sucessão ecológica. Para compreender a evolução dos processos de restauração florestal passiva em ecossistemas tropicais, depois de paralisada a pecu
Ciênc. Florest.. Publicado em: 02/12/2019
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12. VERTICAL ACCURACY ASSESSMENT OF THE PROCESSED SRTM DATA FOR THE BRAZILIAN TERRITORY
Abstract: This research aims to determine the vertical accuracy of the Interferometric Digital Elevation Model (DEM) obtained from the processed Shuttle Radar Topographic Mission (SRTM) data. The research compared the SRTM-GL1 (Shuttle Radar Topographic Mission-Global 1) with 30-meter resolution and the following 90-meter resolution models: (a) EMBRAPA; (b)
Bol. Ciênc. Geod.. Publicado em: 02/12/2019